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A Resilience-Based Security Assessment Approach for Railway Signalling Systems

机译:基于弹性的铁路信号系统安全评估方法

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In order to prompt the level of automation and information, a great amount of common information technologies are applied to railway signalling systems, which brings the openness of signalling systems increasing, and security risks are growing. Quantifying the effects of security risks is an urgent task, which is a great challenge for railway signalling systems due to the lack of security metrics and an efficient assessment approach. In the paper, based on the service features and the cyber-physical characteristics of railway signalling systems, we propose a resilience-based security assessment approach to describe performance changes during different stages of security events, which can illustrate the robustness and recovery capability of signalling systems facing cyber attacks. Considering a typical scenario where malicious jamming attacks are implemented on train-ground wireless communications, the proposed security assessment approach demonstrates the security levels of railway signalling systems. Based on time variance of the resilience indicators, a cognitive control strategy is developed to enhance overall performance and resilience of signalling systems. Simulation results show the validation and efficiency of the proposed security assessment approach.
机译:为了促进自动化和信息化水平的提高,铁路信号系统被大量的通用信息技术所采用,这使得信号系统的开放性越来越高,安全隐患也在日益增加。量化安全风险的影响是一项紧迫的任务,由于缺乏安全指标和有效的评估方法,这对于铁路信号系统是一个巨大的挑战。本文基于铁路信号系统的服务特性和网络物理特性,提出了一种基于弹性的安全评估方法来描述安全事件不同阶段的性能变化,从而可以说明信号的鲁棒性和恢复能力。系统面临网络攻击。考虑到在火车地面无线通信上实施恶意干扰攻击的典型情况,建议的安全评估方法演示了铁路信号系统的安全级别。基于弹性指标的时间变化,开发了一种认知控制策略来增强信号系统的整体性能和弹性。仿真结果表明了所提出的安全评估方法的有效性和有效性。

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